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Energy considerations for continuous group activity recognition using mobile devices: the case of GroupSense

conference contribution
posted on 2016-01-01, 00:00 authored by A B Abkenar, Seng LokeSeng Loke, W Rahayu, Arkady ZaslavskyArkady Zaslavsky
Human activity recognition using mobile sensors is becoming increasingly important. Scaling up from individuals to groups, that is, Group Activity Recognition (GAR), has attracted significant attention recently. This paper investigates energy consumption for GAR and proposes a novel distributed middleware called GroupSense for mobile GAR. We implemented and tested GroupSense, which incorporates a protocol for the exchange of information required for GAR. We also investigated the battery drain of continuous activity recognition in a range of simple GAR scenarios. We then conclude with lessons learnt for GAR.

History

Event

IEEE Computer Society. Conference (30th : 2016 : Crans-Montana, Switzerland)

Series

IEEE Computer Society Conference

Pagination

479 - 486

Publisher

Institute of Electrical and Electronics Engineers

Location

Crans-Montana, Switzerland

Place of publication

Piscataway, N.J.

Start date

2016-03-23

End date

2016-03-25

ISSN

1550-445X

ISBN-13

9781509018574

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2016, IEEE

Editor/Contributor(s)

[Unknown]

Title of proceedings

AINA 2016 : Proceedings of the 30th IEEE International Conference on Advanced Infromation Networking and Applications